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A Survey of Different Types of Characterization Technique In Ultra Sonograms of the Thyroid Nodules
Get PDFThyroid is one of the endocrine Gland. Thyroid can be classified into normal, nodule and cancers thyroid. The characterization of the thyroid tissue in digital image processing techniques offer’s the texture description and using the ultrasound images. In this paper describe the various type of feature extraction techniques characterization and classification method. The texture characterization in medical images plays an important role as it helps into characterized the type of images, directions and extracting the features. This survey focuses on three types of characterization technique and methods that classify the thyroid nodule medical imaging. Result shows that comparatively analysis of these characterization techniques
Trends of IT Industry in Indian Economy – An Analysis
Get PDFThe Indian Information Technology and Information Technology Enabled Services (IT-ITES) industry has been contributing its role in the economic development of India since post liberalization era. The pace growth of this industry is considered as a growth driver for the economy. India has become as “IT Super Power”. The performance of IT industry can be revealed with the evidence of its contribution to the GDP (Gross Domestic Product) of the country, provision of employment opportunities all over the country, IT services and software exports and revenue to the country. This paper examines how does the IT industry is playing its predominant role in Indian economy with its various trends in the contribution to the GDP of India , IT exports, IT revenue trends and employment opportunities
Frequent Itemsets Used in Mining of Train Delays
Get PDFThe Indian railway network has a high traffic density with Vijayawada as its gravity center. The star-shape of the network implies heavily loaded bifurcations in which knock-on delays are likely to occur. Knock-on delays should be minimized to improve the total punctuality in the network. Based on experience, the most critical junctions in the traffic flow are known, but others might be hidden. To reveal the hidden patterns of trains passing delays to each other, we study, adapt and apply the state-of-the-art techniques for mining frequent episodes to this specific problem
Analysis of SQL Injection Attack
Get PDFSQL injection attacks are a serious security threat to Web applications. They allow attackers to obtain unrestricted access to the databases underlying the applications and to the potentially sensitive information these database contain. Various researchers and practitioners have proposed various methods to address the SQL injection problem. To address this problem, we present an extensive review of the various types of SQL injection attacks known to date. For each type of attack, we provide descriptions and examples of how attacks of that type could be performed. We also present a methodology to prevent SQL injection attacks. It concentrates on the SQL queries and SQL stored procedure where input parameters are injected by the attacker. After a rigorous input validation with our proposed SQL security model will ensure input validation
Application of Data Mining Using Bayesian Belief Network To Classify Quality of Web Services
Get PDFIn this paper, we employed Naïve Bayes, Augmented Naïve Bayes, Tree Augmented Naïve Bayes, Sons & Spouses, Markov Blanket, Augmented Markov Blanket, Semi Supervised and Bayesian network techniques to rank web services. The Bayesian Network is demonstrated on a dataset taken from literature. The dataset consists of 364 web services whose quality is described by 9 attributes. Here, the attributes are treated as criteria, to classify web services. From the experiments, we conclude that Naïve based Bayesian network performs better than other two techniques comparable to the classification done in literature
Compressed Sensing for Image Compression Using Wavelet Packet Analysis
Get PDFCompressed sensing is a recently developed technique that exploits the sparsity of naturally occurring signals and images to reduce the volume of the data using less number of samples, computing the sparsity of the signal. In the traditional/conventional approaches the images are acquired and compressed, where as compressed sensing aims to acquire the “compressed signals” with few numbers of samples and reconstruct the images. This will allow us to acquire the large ground/region with few numbers of input samples. This technique works on the assumption that natural signals/images have inherent sparsity. . In this algorithm, the original image is first decomposes with the wavelet packet to make it sparse, and then retains the low frequency coefficients in line with the optimal basis of the wavelet packet, meanwhile, makes random measurements of all the high frequency coefficients according to the compressed sensing theory, and last restores them with the orthogonal matching pursuit (OMP) method, and does the inverse transform of the wavelet packet to reconstruct the original image, to achieve the image compression
Regression Test Suite Reduction using an Hybrid Technique Based on BCO And Genetic Algorithm
Get PDFRegression testing is a maintenance activity that is performed to ensure the validity of modified software. The activity takes a lot of time to run the entire test suite and is very expensive. Thus it becomes a necessity to choose the minimum set of test cases with the ability to cover all the faults in minimum time. The paper presents a new test case reduction hybrid technique based on Genetic algorithms(GA) and bee colony optimization (BCO) .GA is an evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover. BCO is a swarm intelligence algorithm. The proposed approach adopts the behavior of bees to solve the given problem. It proves to be optimistic approach which provides optimum results in minimum time
Effective Analysis of Different Parameters in Ad hoc Network for Different Protocols
Get PDFA wireless Ad-hoc network consists of wireless nodes communicating without the need for a centralized administration, in which all nodes potentially contribute to the routing process. A user can move anytime in an ad hoc scenario and, as a result, such a network needs to have routing protocols which can adopt dynamically changing topology. To accomplish this, a number of ad hoc routing protocols have been proposed and implemented, which include Dynamic Source Routing (DSR), ad hoc on-demand distance vector (AODV) routing, and temporally ordered routing algorithm (TORA). In this paper, we analyze the performance differentials to compare the above-mentioned commonly used ad hoc network routing protocols. We report the simulation results of four different scenarios for wireless ad hoc networks having thirty nodes. The performances of proposed networks are evaluated in terms of number of hops per route, retransmission attempts, traffic sent, traffic received and throughput with the help of OPNET simulator. Channel speed 11Mbps and simulation time 20 minutes were taken. For this above simulation environment, TORA shows better performance over the two on-demand protocols, that is, DSR and AODV
Frictional Power Minimization in Partially Textured Piston Ring Assembly
Get PDFAsignificantshare i.e.60% of thetotal powerlossin amodernautomotiveengineinform of heat, either fromtheenginesurfaceortheexhaustpipe,ofwhichthefrictionlossesmayvaryfrom18%to20%andfrictionallossesarealsoresponsibleforabout25%ofthefuelconsumption.Itisnotedthatalmost80%ofthefrictionallossesareduetothefrictionallossesinthepistonringassembly(PRA). That leaves lessthanonequarter ofthe indicated powerintermsofbrake power.Thispaper analysesdifferentmethodsdeveloped by theautomobileindustriesin order to reduce the friction powerlossesit maybe in formof the developmentofbetterlubricants,designandpartiallasersurfacetexturing(LST)ofthepistonrings
Quality Management Practices and Product Quality Outcome in Indian Manufacturing Industry: A Case Study
Get PDFIn today’s era of global competition, the business organizations across the world are in search of sustainable competitive advantage. The competitive advantage may be reflected in offering superior products or services at lower cost. Cost-based and differentiation-based business strategies are prerequisite for growth and survival of business organizations in today’s turbulent, dynamic and complex business environment. Global competition is also characterized by increasing dynamics of innovation related to all the facets of the product life cycle. The ability to effect higher efficiency coupled with enhance quality of product or service, such Total Quality Management, allows one to better control the cost base whilst swimming in the stream of dynamic innovation. Owing to liberalization of the Indian economy, Indian industry is also experiencing an increasing pressure for improvement in quality of its products and services, for which it is adopting tools and techniques of quality improvement. In general, there has been an appreciable improvement in adoption of quality concepts in recent years in the Indian industries. The present study which is empirical in nature focuses on the study of quality management practices in Indian manufacturing organizations. This paper also attempts to study the relationship between main quality management practice dimensions and superior product quality outcomes